image-net.org/api/text/imagenet.sbow.obtain_synset_list "ImageNet". Archived from the original on 5 April 2013. "ImageNet". Archived from...

prominence through its performance in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). It classifies images into 1,000 distinct object categories...

resilience - AlexNet won the ImageNet challenge in 2012. The team presented their paper for AlexNet at NeurIPS (NIPS) 2012. Shortly after AlexNet’s debut, Krizhevsky...

Scholar Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E (2012). "ImageNet Classification with Deep Convolutional Neural Networks". Advances in Neural...

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation; TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation...

Li-Jia; Li, Kai; Fei-Fei, Li (2009). "Imagenet: A large-scale hierarchical image database". CVPR. "ImageNet". image-net.org. "How a stubborn computer scientist...

reference to the layer inputs. It was developed in 2015 for image recognition, and won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) of that...

in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2014. It was used as a baseline comparison in the ResNet paper for image classification...

model achieved the same accuracy as AlexNet on ImageNet classification, but has a size 510x less than it. SqueezeNet was originally released on February 22...

error. The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object classification and detection, with millions of images and hundreds...

CIFAR-10 but with 100 classes and 600 images each. ImageNet (ILSVRC): 1 million color images of 1000 classes. Imagenet images are higher resolution, averaging...

was released under the copyleft license GPL. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which...

The image-recognition milestone of the AlexNet designed in collaboration with his students Alex Krizhevsky and Ilya Sutskever for the ImageNet challenge...

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (2017-05-24). "ImageNet classification with deep convolutional neural networks". Communications...

{\displaystyle \mu _{\text{ref}}'} is the distribution of images in ImageNet and horizontally-reflected ImageNet, combined. The result of such training would be...

measure the diversity of images created by a generative model with images in a reference dataset. The reference dataset could be ImageNet or COCO-2014. Using...

Images in ImageNet are labelled using concepts in WordNet. Concepts that are easily expressed verbally, like "early", are seen as less "imageable" than nouns...

computer vision and machine learning. She was one of the leaders of the ImageNet Large Scale Visual Recognition challenge and has been recognised by MIT...

1007/s10506-022-09309-8. ISSN 1572-8382. PMC 8811736. PMID 35132296. "ImageNet". image-net.org. Retrieved 2024-08-14. Field, Hayden; Leswing, Kif (2024-03-30)...

by the ImageNet Large Scale Visual Recognition Challenge; this is a benchmark in object classification and detection, with millions of images and 1000...

uncovered that large-scale image datasets commonly used to develop AI systems, including ImageNet and 80 Million Tiny Images, carried racist and misogynistic...

of deeper architectures and GPU acceleration on image recognition performance. From the 2013 ImageNet competition, most entries adopted deep convolutional...

codenamed "Inception" after the film of the same name, was developed for the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) in 2014 and released...

unlabeled images taken from YouTube videos. In October 2012, AlexNet by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton won the large-scale ImageNet competition...

the ImageNet challenge for object recognition in computer vision. The event catalyzed the AI boom later that decade, when many alumni of the ImageNet challenge...

particular, Google Translate), image recognition (spurred by the ImageNet training database) as commercialized by Google Image Search, and in game-playing...

outperform the speed-accuracy tradeoff curve of mNASNet and MobileNetV2 on the ImageNet image-classification dataset. FBNet accomplishes this using over 400x...

the standard preprocessing for ImageNet, which uses [0.485, 0.456, 0.406] and [0.229, 0.224, 0.225]. If the input image does not have the same resolution...

predictions made by the network. Top-5 accuracy was popularized by the ImageNet challenge. It is usually higher than top-1 accuracy, as any correct predictions...

Objects in Context". cocodataset.org. Deng, Jia, et al. "Imagenet: A large-scale hierarchical image database."Computer Vision and Pattern Recognition, 2009...